446 research outputs found

    Will It Make My Job Easier, or What\u27s in it for Me?

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    Putting aside philosophical questions about public access to government proceedings—what we now call “transparency”—and without regard to whether televising Supreme Court arguments is a logical extension of the common law’s “absolute personal right of reasonable access to court files” as described in 1977 by the Seventh Circuit in Rush v. United States, my real concern about whether Supreme Court arguments should be televised is somewhat narcissistic. Will it make my job—as a plaintiff’s civil rights lawyer who dabbles in criminal defense and post-conviction matters and who has had five adventures as “arguing counsel” in the Supreme Court—easier? I explain below why I think the answer is a resounding “yes.

    Will It Make My Job Easier, or What\u27s in it for Me?

    Get PDF
    Putting aside philosophical questions about public access to government proceedings—what we now call “transparency”—and without regard to whether televising Supreme Court arguments is a logical extension of the common law’s “absolute personal right of reasonable access to court files” as described in 1977 by the Seventh Circuit in Rush v. United States, my real concern about whether Supreme Court arguments should be televised is somewhat narcissistic. Will it make my job—as a plaintiff’s civil rights lawyer who dabbles in criminal defense and post-conviction matters and who has had five adventures as “arguing counsel” in the Supreme Court—easier? I explain below why I think the answer is a resounding “yes.

    Criminal Law and Procedure: Recent Trends in the Seventh Circuit

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    Civil Liberties: Employment Discrimination, Due Process, Immunities, and Exhaustion of Remedies

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    Relationships between two dimensions of employee perfectionism, postwork cognitive processing, and work day functioning

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    This daily diary study examined relations between two distinct perfectionism dimensions and work-related cognitions experienced by employees during evening leisure time. Drawing from perseverative cognitive processing theory, we hypothesized that perfectionistic concerns would be related to work-related worry and rumination during postwork evenings. In contrast, we hypothesized that a theoretically more adaptive perfectionist dimension (perfectionistic strivings) would be associated with positively valenced self-reflections about work across consecutive evenings. A sample of 148 full-time workers completed an initial survey, which included a trait perfectionism measure, reported their work-related cognitions across four consecutive evenings of a working week, rated their sleep quality immediately upon awakening on each subsequent morning, and their daily levels of emotional exhaustion and work engagement at the end of each work day. Results showed that perfectionistic concerns were indirectly negatively associated with sleep quality and work day functioning via the tendency to worry and ruminate about work. In contrast, perfectionistic strivings were indirectly positively associated with work day engagement via the propensity to experience positive thoughts about work during evening leisure time. The theoretical and practical implications of these findings are discussed

    Ternary Syndrome Decoding with Large Weight

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    The Syndrome Decoding problem is at the core of many code-based cryptosystems. In this paper, we study ternary Syndrome Decoding in large weight. This problem has been introduced in the Wave signature scheme but has never been thoroughly studied. We perform an algorithmic study of this problem which results in an update of the Wave parameters. On a more fundamental level, we show that ternary Syndrome Decoding with large weight is a really harder problem than the binary Syndrome Decoding problem, which could have several applications for the design of code-based cryptosystems

    Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies

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    <p>Abstract</p> <p>Background</p> <p>Verbal autopsies provide valuable information for studying mortality patterns in populations that lack reliable vital registration data. Methods for transforming verbal autopsy results into meaningful information for health workers and policymakers, however, are often costly or complicated to use. We present a simple additive algorithm, the Tariff Method (termed Tariff), which can be used for assigning individual cause of death and for determining cause-specific mortality fractions (CSMFs) from verbal autopsy data.</p> <p>Methods</p> <p>Tariff calculates a score, or "tariff," for each cause, for each sign/symptom, across a pool of validated verbal autopsy data. The tariffs are summed for a given response pattern in a verbal autopsy, and this sum (score) provides the basis for predicting the cause of death in a dataset. We implemented this algorithm and evaluated the method's predictive ability, both in terms of chance-corrected concordance at the individual cause assignment level and in terms of CSMF accuracy at the population level. The analysis was conducted separately for adult, child, and neonatal verbal autopsies across 500 pairs of train-test validation verbal autopsy data.</p> <p>Results</p> <p>Tariff is capable of outperforming physician-certified verbal autopsy in most cases. In terms of chance-corrected concordance, the method achieves 44.5% in adults, 39% in children, and 23.9% in neonates. CSMF accuracy was 0.745 in adults, 0.709 in children, and 0.679 in neonates.</p> <p>Conclusions</p> <p>Verbal autopsies can be an efficient means of obtaining cause of death data, and Tariff provides an intuitive, reliable method for generating individual cause assignment and CSMFs. The method is transparent and flexible and can be readily implemented by users without training in statistics or computer science.</p
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